New tools for phenotypic analysis in <i>Candida albicans</i>: the <i>WAR1</i> gene confers resistance to sorbate
Bibliographic record
Abstract
Availability of the complete sequence of the Candida albicans genome allows for global gene analysis. We designed a gene deletion method to facilitate such studies. First, we constructed C. albicans strains that are both Deltaura3 and Deltatrp1. Second, we designed a system that relies on in vitro recombination, using the Gateway((R)) technology, for efficient generation of deletion cassettes. They are generated in two steps: (a) upstream and downstream DNA fragments of the chromosomal region to be deleted are amplified by PCR and introduced into two separate entry vectors; (b) the second step involves a quadruple recombination event including the two entry vectors, a plasmid bearing a marker of interest and a destination vector, in order to generate a plasmid containing the deletion cassette. The deletion plasmid contains very rare restriction sites for convenient excision of the knockout cassette. Selection in C. albicans can be performed with one of the following markers: the C. albicans URA3 gene, a modified S. cerevisiae TRP1 gene or the mycophenolic acid resistance (MPA(R)) gene. Upon integration into the genome, these markers can be removed by the use of 5-fluoroorotic acid (URA3), 5-fluoroanthranilic acid (TRP1) or the FLP recombinase (MPA(R)). Using this approach, we show that removal of the C. albicans orf19.1035 gene results in sensitivity to the weak acid sorbate, while its overexpression increases resistance to this compound. We named it WAR1, in analogy to its S. cerevisiae orthologue.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".